Science Lectures Research Articles

Organizational support as a moderator on academic entrepreneurship performance in state universities

Engaging in academic entrepreneurship enhances the potential for academics to generate scientific advancements, capitalize on findings, and create impactful contributions. This study examines how organizational support affects the relationship between entrepreneurial orientation and role integration on academic entrepreneurship performance at state universities in Indonesia. The population includes lecturers from eleven state universities with research results that can be commercialized. A purposive sampling method selected 330 respondents, focusing on science and social sciences lecturers with research at a technological readiness level of 6 to 9, demonstrating pilot stages and commercialization readiness based on national assessments. Data analysis used variance-based structural equation modeling and partial least squares (PLS). The findings indicate that entrepreneurial orientation significantly affects academic entrepreneurship performance (p < 0.05), and role integration significantly affects academic entrepreneurship performance (p < 0.05). Additionally, organizational support moderates the relationship between entrepreneurial orientation and academic entrepreneurship performance (p < 0.05), and organizational support moderates the relationship between role integration and academic entrepreneurship performance (p < 0.05). AcknowledgmentsWe would like to thank the lecturers at eleven state universities in Indonesia who contributed to this investigation. Their assistance allowed the authors to obtain data that met the study criteria and generate accurate and exact data analysis per the research goals.

New horizons of science popularization in libraries

In the recent decade, the interest in popular science seminars, lectures and master classes has been growing, which is evidenced by the specialists of libraries, museums and educational organizations. The authors argue that the dialogue between science and society should be enhanced, and it is important to attract public attention to the achievements in science and technology and to cultivate learning interest. The authors review the process of science popularization in Russia and the world, as science popularization is seen as the essential part of educating information literacy and engaging wider community in the world of scientific knowledge. The authors discuss various methods and instruments of science and technology popularization. The focus is made on the role of specialized and academic libraries being the hubs of knowledge dissemination and scientific communication, and supporting different user groups. The authors provide several recommendations for the libraries, in particular, on how to organize popular science events and to develop specialized programs for different age user groups. New options for preserving scientific knowledge digital collections, their processing and further utilization, are also proposed.

Implementation of MOORA and MOORSA Methods in Supporting Computer Lecturer Selection Decisions

The selection of computer science lecturers is an important process for educational institutions, requiring a balanced assessment of various criteria to find the most suitable candidates. This paper examines the implementation of Multi-Objective Optimization based on Ratio Analysis (MOORA) and its variant, namely Multi-Objective Optimization based on Ratio Analysis with a Subjective Attitude (MOORSA), as a tool to support decision making. in this case. This selection process is often complex, requiring consideration of various criteria, such as academic qualifications, teaching experience, research capabilities, and others. This research was conducted to support the decision-making process. by developing a Decision Support System (DSS) using the Multi-Objective Optimization on The Basic of Ratio Analysis (MOORA) and MOORSA methods. Many methods are used, such as SAW, AHP, Topsis and others. based on the calculation of the MOORA method, the highest result has been achieved by A1 worth 0.651819 and similarly, in the MOOSRA method the highest alternative result is A1 worth 0.592177.

PSLBI-25 Students’ perceptions of an artificial intelligence photo generation tool in upper-level animal science curriculum

Abstract Domesticated livestock behavior (DLB) is an advanced animal science lecture course that emphasizes behavior associated with domestication of various animal species such as livestock, equine, companion animals and exotic species. Meat Science (MS) is an introductory dual lecture and laboratory course that focuses on muscle biology, food-borne illnesses, humane livestock harvesting, and fabrication techniques. With the emerging usage of artificial intelligence (AI) generative technologies, an assignment was developed utilizing the free AI photo generation tool, Craiyon. Students in DLB and MS were tasked with completing an AI assignment, generating images relevant to either DLB or MS concepts, to expose students to AI technologies. Therefore, the objective of this study was to determine students’ perceptions, knowledge, concerns, and willingness to use AI generative tools and evaluate differences relative to course enrolled (DLB compared with MS). Students (n = 60) enrolled in DLB and MS completed a post-completion survey instrument that consisted of demographic and 5-point Likert-scale questions to gauge student perceptions of the AI assignment. Student survey responses were compiled online using Qualtrics and subsequent respondent data was analyzed using JMP. To give some demographic information relative to the population of students enrolled in DLB and MS, 81 and 76% of the students were female while 19 and 24% were male, respectively. Both courses contained students further along in their degree-seeking program (> 80% Junior or Senior classification). Approximately, 43% of respondents were first generation college students and 66% commute over 14 km daily. When asked about their previous experience using AI generative technologies, 75% of respondents reported no previous experience using AI generative programs. Students enrolled in MS showed a greater concern (P ≤ 0.03) of AI technologies limiting their opportunity to interact and socialize with others as compared with DLB students. Student experience, knowledge, and willingness to use AI tools was not impacted by course enrolled (P ≥ 0.14). Most students reported that they had a positive experience with the AI assignment and felt the experience would be useful in their future (53 and 73%, respectively). Additionally, a majority of students reported that the AI assignment allowed them to visualize concepts and offered a unique learning experience. Participants seemed to have a solid understanding of AI technologies reporting knowledge in tool limitations and inaccurate output. Students were neutral regarding concerns in becoming over-reliant on AI tools and AI use hindering the development of transferable skills. Students felt that AI image generation tools boosted creativity and could be useful in the realm of DLB and MS. Overall, students possessed a general knowledge of AI generative technologies and saw value in using AI image generation tools as it relates to domesticated animal behavior and meat science principles.

Correction: Lončar and Pavlović (2024). “Beyond Quantum Music”—A Pioneering Art and Science Project as a Platform for Building New Instruments and Creating a New Musical Genre. Arts 13: 127

The authors requested to add the following to the Acknowledgments section of the original publication (Lončar and Pavlović 2024): We want to thank Martin Depken (TU Delft) for his kindness in opening the door to art and science dialogues, organizing concerts and lectures, and establishing links with the scientists at the Bionanoscience department, TU Delft [...]

Assessment Strategies, Instructional Resources, Science Course Teaching Methods and Acquisition of Employability Skills by Potential Science Graduates: The Lecturers’ Perspective

The study examines the interconnectedness of assessment strategies, instructional resources, and science course teaching methods relating to employability skills acquisition by potential science graduates from the lecturers’ perspective. The study utilised a research survey design. A sample of 371 was drawn from the population of science lecturers in universities in South-west using a multi-stage sampling technique. This involved purposive, stratified, and quota sampling techniques. A well-structured questionnaire was used to collect data analysed using descriptive statistics (multiple bar charts) and inferential statistics of correlation and regression analyses. The key findings of the study showed that instructional resources [instructional material, physical facilities, and human resources], science course teaching methods, and assessment strategies had joint significant predictions on employability skills acquisition. This implies that these variables must be adequately provided for improved acquisition of employability skills by students. Also, lecturers’ understanding of students’ key employability skills revealed low ratings of information technology, initiative, leadership, problem-solving, and adaptability skills of students. The study recommends that higher education administrators should strive to provide instructional materials, physical facilities and human resources as instructional resources to implement excellent teaching techniques and assessment strategies. The study concludes that lecturers should consciously seek self-upgrade and improve teaching techniques and assessment strategies.

Revitalizing Electrochemical Science and Engineering Education to Create a Clean Energy Workforce

Electrochemical science, engineering, and technology education and workforce development are central to the ongoing clean energy transition. In particular, I will highlight battery, hydrogen, and microelectronics industries as drivers. I then highlight a unique Electrochemistry-Technology-focused Graduate program launched through the Oregon Center for Electrochemistry in 2020. At the master’s level, the accelerated program consists of six core electrochemistry science and engineering lecture, laboratory, and project-based courses over either two or three academic quarters. In addition to core electrochemistry knowledge spanning thermodynamics, transport, kinetics, and device technology, emphasis is placed on problem solving, data analysis, programming (particularly in Python) and professional development and this additional content is embedded throughout all the core lecture and laboratory courses. Students are also introduced to continuum-level electrochemical simulations, with an emphasis on understanding the effects of boundary conditions on the simulation output. They also complete a team-based applied project sponsored by industry partners. The program ends with a nine-month paid internship leading to a master’s degree and career in the electrochemistry industry after 15 months.The coursework is also open to PhD students and postdoctoral scholars who go on to serve as near peer mentors and teaching assistants in the program in future years, directly synergistic with their research, and building community around electrochemistry. A new BS-MS program leveraging the above has launched in 2023, allowing University of Oregon students to complete coursework for both BS and MS in just four years yielding an incredibly high return on tuition and time investment in terms of career potential and earnings. Key to the success of the programs is very low administrative overhead with technical faculty/staff leading all efforts and a transparent budget model to fund the program based on tuition return.

Online Resource Usage by Agricultural Science Lecturers in Nasarawa State, Nigeria

Online Resource Usage by Agricultural Science Lecturers in Nasarawa State, Nigeria

Factors Associated With Vaccination Refusal Among a Sample of the Jordanian Population

Using a questionnaire, this study investigated the numerous factors affecting the Jordanian population’s rejection of COVID-19 vaccines. The data were collected in 2020 to 2021. Using the chi-square test, t-test, Cramer’s V-test, and analysis of variance, we found that most of the Sample (72.6%) obtained information on COVID-19 and its vaccines from social media, radio, and television. In comparison, 31.1% and 35.4% of the Sample obtained from government/official sources or health specialists, respectively, with a lesser share relying on colleagues (13.7%) and scientific lectures (17.5%). Furthermore, depending on the participants’ characteristics, there were significant differences in the information sources or abstinence factors. Several factors were associated with vaccine refusal and hesitancy, including contradictory/conflicting information, lack of trust in vaccines/manufacturers, doubt about the vaccines’ effectiveness, and the belief that the risks of COVID-19 are minimal. Based on these findings, we present several recommendations for policymakers.

Bibliometric Analysis of Publications on Action Recognition; Convolutional Neural Network; Video Surveillance During 2011-2021

Action recognition based on convolutional neural networks (AR-CNN) has been developing rapidly in recent years. It is of great significance to conduct a deep analysis to understand the recent development of AR-CNN. However, a limited study examining the research status of this field could be found. Therefore, this study aims to quantitatively assess the publications related to the SciVal topic "Action Recognition; Convolutional Neural Network; Video Surveillance (T.561)" in computer vision research. This study focused on six aspects: literature distribution characteristics analysis, the development trend, citation analysis, collaborative analysis, keyword analysis and thematic evolution, using VOSviewer and Bibliometrix. The relevant publications were retrieved from Scopus in the period 2012–2021. A total of 6633 publications were identified by 9088 different authors, 62% were conference papers, and 35% were research articles. China and the USA contributed 39.7 % and 17.9 % of the total publications, respectively. The authors' production according to Price's Law was inconsistent but consistent according to Lotka's Law. Ling Shao was the most productive author, with 48 papers (%0.7). Chinese Academy of Sciences was the most productive affiliation, with 259 papers (%3.9). The first Bradford site consisted of Computer Science Lecture Notes with 617 publications. A moderately significant correlation was revealed between the country's publications and GDP per capita. The overall results show that the number of AR-CNN-related documents has increased significantly in recent years, with rapid growth from 2016. Although publications on AR-CNN were published mainly in European journals, China led the scientific production.

PENGENALAN SAMPAH PLASTIK DAN PENGELOLAANYA BERBASIS ECOBRIKS BAGI SISWA-SISWI SMA NEGERI 5 AMBON

Waste is a serious problem that requires special attention. Nowadays, waste has become a problem that is quite difficult to handle in schools. This happens because of the habits of students as consumers who always produce waste, especially plastic, every time they use a product. SMA Negeri 5 Ambon is one of the school's environmental locations which is directly facing the main road and also the waters of Ambon Bay, where there are also coastal ecosystems such as mangroves and seagrass. Until now, there are still some school residents who do not fully understand the aspects of cleanliness. For this reason, efforts are needed to provide education in the form of counseling, outreach and/or training related to pollution. PkM activities are carried out with the aim of increasing the awareness of students in the school environment regarding the impact of waste pollution through assistance provided by FPIK-Unpatti Marine Science lecturers by introducing the concept of Ecobricks as a practical solution to answer this problem.

Self-focused versus dialogic features of gesturing during simultaneous interpreting

The present study considers an implicit debate in the field of gesture studies as to whether gestures are produced primarily for the speaker or for the addressee. It considers the unique monologic setting of simultaneous interpreters working in a booth in which there is no visible audience present and where they only hear and do not see the speaker whose words they are interpreting. The hypotheses (H) are that the interpreters might produce more representational gestures, to aid in their own idea formulation (H1), and self-adapter movements, to maintain their self-focus (H2), rather than pragmatic gestures, which are known to serve interactive functions. Forty-nine interpreters were videorecorded as they interpreted two portions of popular science lectures, one from either English or German (their L2) into Russian (their L1) and one from Russian into their respective L2. The results showed that a vast majority of the gestures produced were either pragmatic in function or self adapters. H2 was thus supported, but H1 was not. The frequent use of pragmatic gestures is interpreted in terms of the internalized dialogic nature of talk and gesturing itself. Both beat gestures expressing emphasis and reduced forms of presentation gestures can facilitate the interpreters’ speaking by prompting the presentation and emphasis of ideas. Though focused on their own process of speech production, simultaneous interpreters may embody elements of the lecturer of the source text engaging with the audience, blended with their own dialogic speaking behaviors, aspects of which we may see in their gesturing.

Vocabulary profile, lexical density and speech rate of science podcasts: How adequate are they for EAP and ESP listening?

One potential source of authentic input for English for Academic Purposes (EAP) and English for Science and Technology (EST) listening could be science podcasts. In this study, we examine the vocabulary level of this genre, as well as the amount of the common specialized, i.e. academic and scientific vocabulary it contains. Additionally, we study its lexical density and speech rate. These properties are examined on a corpus of 126 science podcasts produced by the journal Nature, the American Association for the Advancement of Science (AAAS) and the magazine Scientific American. These are compared against those determined for a corpus of lectures in general (the MICASE lectures) and a corpus of science lectures in particular (the MICASE’s science-lecture subsection). On the one hand, science podcasts were found to contain a good amount of both academic and scientific vocabulary, as well as to have a very similar lexical density to that of lectures. On the other hand, their vocabulary level and speech rate were somewhat higher than those of lectures. Based on the analysis, we recommend the use of science podcasts for both EAP and EST listening for advanced learners. For learners with lower proficiencies, vocabulary support and/or adjusting the speed of the science podcasts is advised.

Стратегия жанровой модификации (на примере лекций и рецензий Андрея Немзера)

The article presents the analysis of popular science lectures by literary critic Andrey Nemzer. The research is based on the radio series “Russian Prose of the Third Millennium”, in which Nemzer gave lectures on remarkable prose writers of the 1990s: N. Gorlanova, M. Vishnevetskaya, A. Slapovsky and A. Dmitriev. The author of the article compares Andrey Nemzer’s public speeches with thematically similar reviews published in “Nezavisimaya Gazeta”, “Segodnya” and “Vremya MN”. Similarities and differences are demonstrated by analyzing the content, structure and style of the selected materials. Thus, the research revealed that the genre of the lecture allows A. Nemzer to outline the writer’s career path, to conduct a reflection on previously read works at a different genre level and to extract one ideological line from them. By using many quotations, the lecturer gives literary texts another chance to be heard, but by a different audience and in another, new millennium. The article shows that by switching to a new format, Nemzer changes the presentation of the material. Thus, the critical space of the reviews, equipped with expression, questions and value judgments, is of an advisory nature, whereas the lecture cycle contains educational pathos. The public speeches tend to be more specific and explanatory. It is important that despite the differences, Nemzer remains true to the conclusions that he came to when he first read these works. He complies with the new genre, simplifying and clarifying the statements made by him years earlier.

The Effect Of Substituting Butterfly Pea Extract As A Natural Dye In Mochi Production

Mochi is a traditional Japanese food made from glutinous rice flour with a sweet taste and a distinctive soft texture that turns chewy when eaten. Mochi is typically round in shape, filled with peanut paste, and coated with roasted cornstarch. In Indonesia, mochi has various variations, one of which involves modifying the mochi's outer layer by adding food coloring to the dough. As time progresses, people have become more aware of the negative effects of synthetic ingredients, leading consumers to shift towards using natural food colorings. Butterfly pea flowers are one alternative source of natural food coloring. These flowers contain anthocyanin compounds that can produce a blue color. The use of butterfly pea flowers does not affect the taste of food products since it only contains anthocyanins. The purpose of this study is to analyze the quality of mochi with the addition of butterfly pea flower extract. The research method employed is a pure experiment, using a Completely Randomized Design (CRD) with three repetitions. Data was collected by surveying a limited group of panelists, who are Family Welfare Science lecturers with a concentration in Culinary Arts at the Faculty of Tourism and Hospitality, Universitas Negeri Padang. Data was analyzed using Analysis of Variance (ANOVA), and if F-value > F-table, then the Duncan test was conducted. The research results indicate a significant effect on color quality. However, the shape (neat and uniform), aroma, texture, and taste did not show a significant effect. The highest overall scores were as follows: neat shape 3.11 (X1), uniform shape 3.11 (X1), blue color 3.44 (X1), pleasant aroma 3.33 (X0), chewy texture 3.67 (X1), and sweet taste 3.33 (X1). The best result in this study was treatment (X1) with a 50% substitution of butterfly pea flower extract.

Empowering Problem-solving in Computer Science: A Need Analysis for a Computational Thinking Mobile Learning Application

The advancement of digital technology has revolutionized education across all levels, giving rise to digital learning as a novel pedagogical environment. Among the subjects at the forefront of this transformation is computer science, introduced in matriculation colleges to supplant traditional information technology courses. However, computer science poses inherent complexity, demanding abstract thinking and diverse problem-solving methodologies. Computational thinking (CT) emerges as a promising approach to address these challenges, recognized as a vital skillset for fostering innovation in digital technology among students. The ubiquity of smartphones and mobile internet facilitates the adoption of mobile learning, offering students the flexibility to access educational content anytime, anywhere. Consequently, this need analysis study aims to assess current teaching practices in computer science and identify the need for mobile learning applications that integrate CT as a problem-solving technique among matriculation college students. Interviews with three computer science lecturers revealed a reliance on conventional pedagogy with limited blended learning approaches through college portals. Notably, specific techniques for imparting programming problem-solving skills were lacking. Nonetheless, it is noteworthy that all instructors recognized the considerable potential of mobile learning applications in effectively engaging students and facilitating the development of problem-solving proficiency.

Peningkatan Keterampilan dan Perekonomian Masyarakat Desa Mekar Baru Melalui Pelatihan Pengolahan Ikan Nila

The people of Mekar Baru Village, who live along the banks of the Kapuas River, generally earn their living as farmers cultivating tilapia, goldfish and snakehead fish and tilapia. With the community's low level of education, this has an impact on their lack of understanding about the benefits of consuming fish and their lack of skills in processing fish which can increase the economic value or selling price of the cultivated fish commodity. This community service activity (PKM) aims to improve skills in processing floss and nuggets made from valuable fish meat, so that it can help the family's economy. The activity was attended by 20 activity participants consisting of housewives. This activity was divided into 2 activities, namely a scientific lecture about the benefits of fish and its various derivative preparations in improving family health and direct practice in making tilapia fish shreds and nuggets. The results of the evaluation of this PKM activity show an increase in participants' understanding regarding the benefits of consuming fish or its processed products, as well as improving skills in making shredded tilapia fish floss and nuggets.

The Effectiveness of An Internet of Things (IoT)-based Virtual Science Laboratory on Nervous System Material in Science Course

This study aims to test the effectiveness of the Internet of Things (IoT)-based virtual science laboratory on nervous system material in science lectures. The research method used was an experiment with a pretest-posttest control group design, with the research subjects being randomly selected A3 and A4 class students in the PGRI Yogyakarta University PGSD study program who take science courses. Data was collected by giving a pre-test and post-test and measuring n-gain to determine the increase in concept understanding after using a virtual science laboratory. Data analysis was carried out using the t-test to test the significant difference between the pre-test and post-test results and the n-gain test to measure the effectiveness of virtual science laboratories in improving students' concept understanding. The results of this study indicated that the Internet of Things (IoT)-based virtual science laboratory on nervous system material effectively improves students' understanding of concepts. It can be seen from the average n-gain result of 0.72 in the experimental group, which shows a high increase in concept understanding. The t-test results showed a significant difference between the control group and the experimental group in terms of the effectiveness of the IoT-based virtual science laboratory on nervous system material.

The Mediating Effect of Parental Involvement on the Relationship Between Teacher Support and Student Motivation in Learning Science

The main purpose of this study is to determine the mediating effect of parental involvement on the relationship between teacher support and student motivation in learning science. The respondents of this study were the 101 Grade 12 students of Samal Senior High School in Island Garden City of Samal who were selected through universal purposive sampling. It utilized a descriptive-correlational design with mediation analysis. The researcher used a three-part survey questionnaire, and the data was treated using Mean, Pearson-r, and mediation analysis. The results revealed that teacher support directly affects student motivation, and parental involvement significantly mediates the relationship, with an indirect effect estimated at 0.114 (SE = 0.0371, z = 3.07, p < 0.01). The direct effect of teacher support on student motivation is statistically significant, estimated at 0.544 (SE = 0.0637, z = 8.54, p < 0.001), and has yielded a highly significant total effect of 0.658 (SE = 0.0592, z = 11.12, p < 0.001), highlighting the strong impact of both teacher support and parental involvement on student motivation in learning science. Therefore, it is recommended that teachers build a positive relationship with parents to create an innovative classroom action plan with them as part of the school’s developmental plan program. Also, parents should be committed to their children’s needs. In this regard, students can be stimulated through science activities, webinars, training, or lectures provided by the school administrator and teachers to boost their interest in learning the subject.

Trends UGC and Engagement: Bibliometric Analysis

This study intends to analyze research trends in user-generated content and engagement on social media for the five years leading up to 2024 in response to the growing interest of firms and academics in transitioning to digital marketing. This evaluation employed a bibliometric literature review and analysis to chart the development of the field from 2019 to 2023. Two hundred fifty-four papers were obtained from the original title search results using the Scopus engine. To create and examine network visualizations of user-generated content and engagement trends, the data is exported in CSV format to the VOS-viewer software. Of the 61 research articles published, publications from the United States are the most numerous. A subseries of computer science lecture notes is accessible. The top publication source is Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, which produces three papers annually. The results indicate that five distinct groupings were created by merging countries' bibliographies. Social Media, UserGenerated Content, and Social Networking are widely discussed and popular subjects. Two primary shortcomings have been brought to light by this sector's research. First, there needs to be more testing or variation in digital marketing methods across various industries. Second, creating these models should consider user-generated content and social media engagement. Contributing to the body of knowledge on User-Generated Content and Engagement, this study provides academicians and professionals with a valuable analysis of research patterns and recommendations for prospective areas of study in the future.